Institute for Human-Centered Artificial Intelligence (HAI)
Showing 231-240 of 241 Results
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Seema Yasmin
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioSeema Yasmin is an Emmy Award-winning journalist, poet, medical doctor and author. Yasmin served as an officer in the Epidemic Intelligence Service at the U.S. Centers for Disease Control and Prevention where she investigated disease outbreaks and was principal investigator on a number of CDC studies. Yasmin trained in journalism at the University of Toronto and in medicine at the University of Cambridge.
Yasmin was a finalist for the Pulitzer Prize in breaking news in 2017 with a team from The Dallas Morning News and recipient of an Emmy for her reporting on neglected diseases. She received two grants from the Pulitzer Center on Crisis Reporting. In 2017, Yasmin was a John S. Knight Fellow in Journalism at Stanford University investigating the spread of health misinformation and disinformation during epidemics. Previously she was a science correspondent at The Dallas Morning News, medical analyst for CNN, and professor of public health at the University of Texas at Dallas.
Her writing has earned awards and residencies from the Mid Atlantic Arts Council, Hedgebrook, the Millay Colony for the Arts and others. Her first book, The Impatient Dr. Lange (Johns Hopkins University Press, July 2018) is the biography of an AIDS doctor killed on Malaysia Airlines flight MH17. Her second book, Debunked! Pseudoscience, Medical Myths and Why They Persist, is forthcoming in November 2019. A major title about women is forthcoming from HarperCollins in 2020.
Yasmin’s unique expertise in medicine, epidemics and journalism has been called upon by The Presidential Commission for the Study of Bioethical Issues, the Aspen Institute, Skoll Foundation and others. -
Serena Yeung
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. -
Greg Zaharchuk
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsImproving medical image quality using deep learning artificial intelligence
Imaging of cerebral hemodynamics with MRI and CT
Noninvasive oxygenation measurement with MRI
Clinical imaging of cerebrovascular disease
Imaging of cervical artery dissection
MR/PET in Neuroradiology
Resting-state fMRI for perfusion imaging and stroke -
Edward Zalta
Sr Res Scholar
BioDr. Edward N. Zalta is a Senior Research Scholar at the Center for the Study of Language and Information at Stanford University. He obtained an honors B.A. from Rice University in 1975, and a Ph.D. in Philosophy from the University of Massachusetts/Amherst in 1981. His research specialties include metaphysics/ontology, philosophy of mathematics, computational metaphysics, philosophical and philosophy of logic, and intensional logic, among others. Zalta has published two books (*Abstract Objects: An Introduction to Axiomatic Metaphysics*, D. Reidel, 1983; and *Intensional Logic and the Metaphysics of Intentionality*, MIT Press, 1988), as well as articles in the Journal of Philosophy, Mind, the Journal of Philosophical Logic, Noûs, and elsewhere. He has taught courses and lectured at universities around the world and is the recipient of the K. Jon Barwise Prize (2016, awarded by the American Philosophical Association, Committee on Computing and Philosophy) and the Covey Award (2009, awarded by the International Association for Computing and Philosophy). Zalta also designed the online Stanford Encyclopedia of Philosophy <http://plato.stanford.edu/> and now serves as its Principal Editor. For further information, see <http://mally.stanford.edu/zalta.html>.
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Amy Zegart
Morris Arnold and Nona Jean Cox Senior Fellow at the Hoover Institution, Senior Fellow at the Freeman Spogli Institute for International Studies, and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsU.S. intelligence, cybersecurity, political risk, grand strategy
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Daniel Zhang
Policy Research Manager
BioDaniel Zhang is the policy research manager and a social science research scholar at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). In this role, he directs and develops HAI’s policy-oriented research, including translational and original research on topics of AI regulation and standards, the geopolitical implication of emerging technology, governance of large-scale ML models, etc. Previously, he was the manager of the AI Index where he led the development and research of the annual report that measures and evaluates the rapid rate of AI advancement.
Before Stanford, he worked on global AI talent flows and security risks at the Center for Security and Emerging Technology and public education policy at the Riley Institute Center for Education and Leadership. Daniel holds an M.A. in Security Studies from Georgetown University, where he concentrated on technology policy and a B.A. in Politics & International Affairs from Furman University. -
James Zou
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.
